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Volumn 30, Issue , 2015, Pages 329-340

Multisignal 1-D compression by F-transform for wireless sensor networks applications

Author keywords

Data compression; F transform; Least squares; Wireless sensor networks

Indexed keywords

DISCRETE WAVELET TRANSFORMS; SENSOR NODES; SIGNAL RECONSTRUCTION; WIRELESS SENSOR NETWORKS;

EID: 84923385782     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.11.061     Document Type: Article
Times cited : (41)

References (29)
  • 2
    • 0345851235 scopus 로고    scopus 로고
    • Wireless integrated network sensors
    • G.J. Pottie, and W.J. Kaiser Wireless integrated network sensors Commun. ACM 43 2000 51 58
    • (2000) Commun. ACM , vol.43 , pp. 51-58
    • Pottie, G.J.1    Kaiser, W.J.2
  • 3
    • 84890423310 scopus 로고    scopus 로고
    • Compression in wireless sensor networks: A survey and comparative evaluation
    • (Article No. 5)
    • M.A. Razzaque, C. Bleakley, and S. Dobson Compression in wireless sensor networks: a survey and comparative evaluation ACM Trans. Sens. Netw. 10 1 2013 1 43 (Article No. 5)
    • (2013) ACM Trans. Sens. Netw. , vol.10 , Issue.1 , pp. 1-43
    • Razzaque, M.A.1    Bleakley, C.2    Dobson, S.3
  • 6
    • 84890442312 scopus 로고    scopus 로고
    • An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications
    • M.A. Rassam, A. Zainal, and M.A. Maarof An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications Appl. Soft Comput. 13 4 2013 1978 1996
    • (2013) Appl. Soft Comput. , vol.13 , Issue.4 , pp. 1978-1996
    • Rassam, M.A.1    Zainal, A.2    Maarof, M.A.3
  • 9
    • 33644989946 scopus 로고    scopus 로고
    • Fuzzy transforms: Theory and applications
    • I. Perfilieva Fuzzy transforms: theory and applications Fuzzy Sets Syst. 157 2006 993 1023
    • (2006) Fuzzy Sets Syst. , vol.157 , pp. 993-1023
    • Perfilieva, I.1
  • 10
    • 79960622902 scopus 로고    scopus 로고
    • Fuzzy transform and least-squares approximation: Analogies differences and generalizations
    • G. Patane' Fuzzy transform and least-squares approximation: analogies differences and generalizations Fuzzy Sets Syst. 180 1 2011 41 54
    • (2011) Fuzzy Sets Syst. , vol.180 , Issue.1 , pp. 41-54
    • Patane, G.1
  • 11
    • 71149110869 scopus 로고    scopus 로고
    • Fuzzy transforms method and attribute dependency in data analysis
    • F. Di Martino, V. Loia, and S. Sessa Fuzzy transforms method and attribute dependency in data analysis Inf. Sci. 180 2010 493 505
    • (2010) Inf. Sci. , vol.180 , pp. 493-505
    • Di Martino, F.1    Loia, V.2    Sessa, S.3
  • 12
    • 40049087822 scopus 로고    scopus 로고
    • An image coding/decoding method based on direct and inverse fuzzy transforms
    • F. Di Martino, V. Loia, I. Perfilieva, and S. Sessa An image coding/decoding method based on direct and inverse fuzzy transforms Int. J. Approx. Reason. 48 2008 110 131
    • (2008) Int. J. Approx. Reason. , vol.48 , pp. 110-131
    • Di Martino, F.1    Loia, V.2    Perfilieva, I.3    Sessa, S.4
  • 13
    • 84875542420 scopus 로고    scopus 로고
    • Fuzzy transform for coding/decoding images: A short description of methods and techniques
    • F. Di Martino, V. Loia, I. Perfilieva, and S. Sessa Fuzzy transform for coding/decoding images: a short description of methods and techniques Stud. Fuzziness Soft Comput. 298 2013 139 146
    • (2013) Stud. Fuzziness Soft Comput. , vol.298 , pp. 139-146
    • Di Martino, F.1    Loia, V.2    Perfilieva, I.3    Sessa, S.4
  • 16
    • 84923341919 scopus 로고    scopus 로고
    • Sensorscope dataset. http://sensorscope.epfl.ch/index.php/EnvironmentalData.
    • Sensorscope Dataset
  • 17
    • 84873415555 scopus 로고    scopus 로고
    • Prius: Generic hybrid trace compression for wireless sensor networks
    • V. Sundaram, P. Eugster, and X. Zhang Prius: generic hybrid trace compression for wireless sensor networks SenSys'12 2012 22 26
    • (2012) SenSys'12 , pp. 22-26
    • Sundaram, V.1    Eugster, P.2    Zhang, X.3
  • 18
    • 33645412358 scopus 로고    scopus 로고
    • Fuzzy transforms
    • J.F. Peters, Lecture Notes in Computer Science
    • I. Perfilieva Fuzzy transforms J.F. Peters, Transactions on Rough Sets II Lecture Notes in Computer Science vol. 3135 2004 63 81
    • (2004) Transactions on Rough Sets II , vol.3135 , pp. 63-81
    • Perfilieva, I.1
  • 20
    • 33644989043 scopus 로고    scopus 로고
    • Fuzzy transform as an additive normal for
    • M. Dankova, and M. Stepnicka Fuzzy transform as an additive normal for Fuzzy Sets Syst. 157 2006 1024 1035
    • (2006) Fuzzy Sets Syst. , vol.157 , pp. 1024-1035
    • Dankova, M.1    Stepnicka, M.2
  • 21
    • 60749101765 scopus 로고    scopus 로고
    • A neural network approach to the fuzzy transform
    • M. Stepnicka, and O. Polakovic A neural network approach to the fuzzy transform Fuzzy Sets Syst. 160 2009 1037 1047
    • (2009) Fuzzy Sets Syst. , vol.160 , pp. 1037-1047
    • Stepnicka, M.1    Polakovic, O.2
  • 22
    • 79960639043 scopus 로고    scopus 로고
    • Approximation properties of fuzzy transforms
    • B. Bede, and I.J. Rudas Approximation properties of fuzzy transforms Fuzzy Sets Syst. 180 2011 20 40
    • (2011) Fuzzy Sets Syst. , vol.180 , pp. 20-40
    • Bede, B.1    Rudas, I.J.2
  • 27
    • 71149110869 scopus 로고    scopus 로고
    • Fuzzy transforms method and attribute dependency in data analysis
    • F. Di Martino, V. Loia, and S. Sessa Fuzzy transforms method and attribute dependency in data analysis Inf. Sci. 180 2010 493 505
    • (2010) Inf. Sci. , vol.180 , pp. 493-505
    • Di Martino, F.1    Loia, V.2    Sessa, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.